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paperarXivTrust 82 · PrimaryPublished 14d agoLive · 12d ago

PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

Large language models (LLMs) exhibit sycophancy, a tendency to agree with user beliefs regardless of factual accuracy. This can reinforce misconceptions, but eliminating it entirely risks over-correction against valid opinions. Effective control must therefore both reduce and increase sycophancy with predictable and gradual effect. Yet, existing methods fail to ensure a bidirectional and monotonic relationship between steering strength and behavioral outcome across models and datasets. We introduce PCA-guided Activation Scaling (PAS), an activation steering framework that decomposes residual s

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  • FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet-v1-1

    Fuzzy title match (0.94): “PCA-guided Activation Scaling for Monotonic Bidirectional Co” ≈ “lllyasviel/ControlNet-v1-1”

  • FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet

    Fuzzy title match (0.94): “PCA-guided Activation Scaling for Monotonic Bidirectional Co” ≈ “lllyasviel/ControlNet”

  • FuzzySimilar title/name (fuzzy) · 59%builderz-labs/mission-control

    Fuzzy title match (0.73): “PCA-guided Activation Scaling for Monotonic Bidirectional Co” ≈ “builderz-labs/mission-control”

  • LinkedLinked via arxiv author · 85%Wenzheng Chen

    PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

  • LinkedLinked via arxiv author · 85%Zhaoxin Feng

    PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

  • LinkedLinked via arxiv author · 85%Yip Tin Po

    PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

  • LinkedLinked via arxiv author · 85%Jianfei Ma

    PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

  • LinkedLinked via arxiv author · 85%Emmanuele Chersoni

    PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

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